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Object detection using geometric invariant moment

Saad, Puteh and Rizon, Mohamad and Yazid, Haniza and Md. Shakaff, Ali Yeon and Saad, Abdul Rahman and Sugisaka, Masanori and Yaacob, Sazali and Desa, Hazri and Karthigayan, M. (2006) Object detection using geometric invariant moment. American Journal of Applied Sciences, 3 (6). pp. 1876-1878. ISSN 1546-9239

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Official URL: http://www.scipub.org/fulltext/ajas/ajas361876-187...

Abstract

Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identify the object from the captured image using the first invariant (Ø1). The recognition rate for this technique is 90% after the image undergoes suitable processing and segmentation process

Item Type:Article
Uncontrolled Keywords:Geometric invariant moment, object detection
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:8404
Deposited By: Ms Zalinda Shuratman
Deposited On:04 May 2009 08:02
Last Modified:13 Oct 2010 02:08

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